Author:
de Azevedo Diego Marques,Rodrigues Guilherme Souza,Ladeira Marcelo
Publisher
Springer International Publishing
Reference31 articles.
1. Alencar, V., Alcaim, A.: LSF and LPC-derived features for large vocabulary distributed continuous speech recognition in Brazilian Portuguese. In: 2008 42nd Asilomar Conference on Signals, Systems and Computers, pp. 1237–1241. IEEE (2008)
2. Amodei, D., et al.: Deep speech 2: end-to-end speech recognition in English and mandarin. In: International Conference on Machine Learning, pp. 173–182. PMLR (2016)
3. Baevski, A., Zhou, Y., Mohamed, A., Auli, M.: wav2vec 2.0: a framework for self-supervised learning of speech representations. Adv. Neural. Inf. Process. Syst. 33, 12449–12460 (2020)
4. Batista, C., Dias, A.L., Neto, N.: Free resources for forced phonetic alignment in Brazilian Portuguese based on Kaldi toolkit. EURASIP J. Adv. Signal Process. 2022(1), 1–32 (2022)
5. Batista, C.T., Dias, A.L., Neto, N.C.S.: Baseline acoustic models for Brazilian Portuguese using Kaldi tools. In: IberSPEECH, pp. 77–81 (2018)